The Advent of AWS to Data Management in the 24th Century: Analysis

This dissertation delves into the evolution of data management, particularly focusing on the transformative impact of Amazon Web Services (AWS). It explores the historical context of data management, identifies challenges faced by organizations before and after the adoption of AWS, and highlights the benefits derived from utilizing AWS's cloud computing services. The research examines how AWS facilitates business expansion through effective data management strategies, including the utilization of services like Amazon S3, Glacier, and Glue. The dissertation investigates the integration of data from cloud applications, ETL processes, master data management, and data analytics. It analyzes the challenges associated with data management and the solutions offered by AWS, providing a comprehensive understanding of AWS's role in modern data handling, storage, processing, and its impact on business operations and decision-making in the 24th century.

The advent of AWS to
Data Mgt in the 24th
Century

Abstract
Data management refers to the administrative process that comprises of acquisition,
validation, storage, protection along with processing of data is needed for ensuring accessibility,
reliability along with timeliness of data for their users. Enterprises makes use of big data for
informing business decisions through which deeper insight can be attained with reference to
trends, opportunities and customer behaviour through which extraordinary customer experiences
can be created. There are different challenges that are faced by organisation while delivering
their services within market. It becomes necessary to ensure that data is managed in an adequate
manner so that relevant decisions can be formulated. With evolution of technology, data
management has also evolved a lot with respect to issues that are faced in this aspect and
designing a relevant solution for dealing with that.
Amazon Web Services renders on demand services to firms through which primitive
distributed computing and technical infrastructure can be provided as a building tools and blocks.
AWS not only provides the firms with an option for data management but also offers services at
low cost, high elasticity, agility, flexibility, security, backup, application hosting, database and
many other features are being furnished. Along with this, the pay per use model aids firms to
easily expand their operations and functionalities within the global market. The challenges that
are being faced by organisation while delivering their services includes integration, storage, cost
of infrastructure, security, migration, lack of training & human workforce, analysis and many
more are there. In addition to this, the amount of data is continuously increasing which makes it
important for firms to take adequate measures or techniques through which this can be analysed
and decisions can be formulated by making use of knowledge.

Table of Contents
Abstract............................................................................................................................................2
Title: “The advent of AWS to Data Management in the 24th Century”...........................................1
Chapter 1..........................................................................................................................................1
Introduction......................................................................................................................................1
Background of the research....................................................................................................3
Problem statement..................................................................................................................4
Research aim..........................................................................................................................4
Research Objectives...............................................................................................................5
Research Questions................................................................................................................5
Statement of Hypothesis.........................................................................................................5
Rationale of the study.............................................................................................................5
Significance of the study........................................................................................................6
Structure of the dissertation....................................................................................................6
Summary..........................................................................................................................................8
Chapter 2..........................................................................................................................................9
Literature Review.............................................................................................................................9
Introduction......................................................................................................................................9
Review...........................................................................................................................................10
History of data management...............................................................................................10
Identify challenges faced by Amazon in data management...............................................16
Benefits collected by Amazon by using AWS (cloud computing) in data management...19
Ways through which AWS help in business expansion by effective utilisation of data
management.........................................................................................................................23
Summary........................................................................................................................................27
Chapter 3........................................................................................................................................28
Research Methodology..................................................................................................................28
Introduction....................................................................................................................................28
Methodologies................................................................................................................................28
Summary........................................................................................................................................36

Chapter 4........................................................................................................................................37
Implementation..............................................................................................................................37
Introduction....................................................................................................................................37
Themes...........................................................................................................................................37
Theme 1: Illustrate the history of data management?..........................................................37
Theme 2: What are the challenges faced by Amazon in data management?.......................40
Theme 3: Depict benefits collected by Amazon through usage of AWS (cloud computing) in
data management?................................................................................................................41
Theme 4: How AWS help in business expansion by effective utilisation of data management?
..............................................................................................................................................43
Summary........................................................................................................................................45
Chapter 5........................................................................................................................................46
Conclusion and Recommendation.................................................................................................46
Introduction....................................................................................................................................46
Overview of dissertation.......................................................................................................46
Recommendation...........................................................................................................................47
Summary........................................................................................................................................47
References......................................................................................................................................49

Title: “The advent of AWS to Data Management in the 24th Century”
Chapter 1
Introduction
The administrative process that comprises of acquisition, validation, storage, protection
and processing of required data for ensuring that data is being created as well as are collected by
firm is referred to as data management. It acts as critical piece within deployment of IT systems
that are liable for execution of business applications thereby, leads to analytical information for
driving operational decision making and strategic planning by business managers, corporate
executives as well as other end users (Demirbas, 2020). Data management process comprises of
aggregation of distinct functions which aims at ensuring that data within corporate system is
precise, accessible and available. With evolution of technology, various enhancements are being
made with respect to ways in which it is being processed and utilised by firms for delivering
their functionalities. AWS (Amazon Web Services) renders on-demand cloud platforms along
with APIs to companies, governments and individuals. This cloud service is liable for furnishing
a abstract technical infrastructure along with building blocks and tools of distributed computing.
This dissertation will furnish relevant details associated with challenges that were being faced by
firm before cloud computing existed and potential impact created by this aspect on their
functionalities.
Data management can be defined as an administrative process where data or information
can be stored, managed, protected, processed and so on in order to improve the reliability,
accessibility and including timeliness of information for the users. implies ambiguous and broad
concept which denotes development of policies, procedures, architectures and practices for
management of data lifecycle (Kaoudi, Manolescu and Zampetakis, 2020). With reference to
data management the five possibilities are specified beneath: Cloud data management: This implies the process associated with integration of data
from ecosystem of cloud applications. All the intake, data storage as well as processing
takes place within cloud dependent storage medium. ETL and data integration: It comprises of loading of data from sources within the data
warehouse, transforming them, their summarisation along with their aggregation in the
adequate format for carrying out in-depth analysis.
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 Master data management: This denotes method for management of critical data of
organisation that is accounts, parties and customers within the business transactions in the
standardised manner which will further prevent duplication in the organisation (Mbelli,
2019). Reference data management: This denotes a permissible values that are utilised by other
data fields like list of countries, cities, postal codes, product serial number and regions.
This might be externally provided or within the premises of organisation.
 Data analytics & visualisation: The process that is utilised for processing of data via data
warehouses of big data sources for carrying out enhanced data analytics and enables
analysts to slice, dice as well as illustrate the visualisations along with dashboards.
With the massive quantities of data, relevant tools are needed with reference to aspect
illustrated above. Firms which deals with large amount of data , they have to store, sift through
this and also conduct analysis routinely for storing as well as managing them across the cloud
(Nagpure and et. al, 2019). The tools which firm can utilise are Amazon web services, Microsoft
Azure, Google Cloud, and Panoply. With reference to this dissertation, emphasis will be laid on
Amazon Web Service (AWS) which offers ever-expanding set of tools which can be put together
within effectual cloud data management stack. The key services are: Amazon S3: Simple storage service which is being delivered by AWS and furnish object
storage via web service interface. This can be utilised storing any kind of object that will
assist within storage for backup, internet applications, disaster recovery, data lakes for
having analytics, data archives along with cloud storage. This provides temporary and
intermediate storage. Amazon Glacier: It is a secured, durable as well as low cost storage class for data
archival as well as maintaining long-term backup. This is designed for having long-term
storage of the information which is accessed infrequently and for this latency time that is
acceptable is around 3 to 5 hours.
 AWS Glue: It is a fully managed ETL that denotes extraction, transformation and loading
of service which makes this simple as well as cost efficacious for categorising data,
cleaning it, enriching this and moving it reliably among different data streams and stores
(Roe, 2020).
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In present context researcher has taken into consideration Amazon which is an American
multinational technological firm that emphasise on delivering e-commerce services, digital
streaming, artificial intelligence and cloud computing. This was founded on 5th July, 1994 by Jeff
Bezos and is headquartered in Seattle, US. They deliver their services worldwide and for this
they have near about 8,40,400 employees. This is regarded as one of the most influential cultural
as well as economic force in the world and is valuable brand. They are also known for their
disruption within the technological innovation. Amazon provides AI assistant, live streaming,
cloud computing platform and online marketplace. They are the world' s largest provider with
respect to cloud computing services in context of infrastructure as a service (IaaS) and platform
as a service (PaaS).
Background of the research
Data management has important role within the organisation in terms of manner in which
operations are being conducted by them. The reason behind using data management in an
organisation is that this helps in in making sense towards vast quantities of information that does
already been collected by accompany where is storage of that particular data gathering and
managing of it considering an effective platform and Data Management solutions. With the help
of this, and organisation can easily conduct essential functions in a lesser time frame. The
practice that assists within collection, keeping as well as usage of data in secured, efficient and
cost efficacious manner is referred to as data management (Roh, Heo and Whang, 2019). This
aims at assisting organisations, individuals and associated things for having optimised usage of
data in certain bounds of regulations along with policies through which decisions can be made
effectively by taking actions in an appropriate manner through which organisation can have
maximised benefits. At present scenario, firms need to have relevant data management solution
that will render them with efficient ways through which data can be managed across distinct
tiers. Data management systems can be defined as solutions which helps in managing data in
much more effective and efficient ways considering diverse but unified data tier. These systems
are built on data management platforms which consist with different range of data basis,
warehouses, big data management systems, data analytics and so on. All these entities work in
collaboration like a data utility for delivering relevant management capabilities. But when
manual interventions are being carried out then the chances of errors also enhances. The new
system like AWS, big data or cloud computing aims at making sure that information stored
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within them is precise, is available as per the requirements and can accessed easily through
which overall functionalities of firms can be amplified. The basic reason behind utilising new
systems like big data, AWS including cloud computing is that it helps in storing the data in a
precise manner which improve the overall functionality of an organisation at the time of
conducting different range of operations that would help in profit maximization (Sudmanns and
et. al, 2019).
Problem statement
Information acts as critical asset for each organisation that enables them to deliver their
services in precise manner (Sanchez, Beak and Saxena, 2019). An instance can be taken into
consideration with respect to this aspect suppose if organisation do not have information related
with their clients in terms of their preferences then there is a high probability that services
delivered by them will not be regarded by them as adequate as their requirements might not have
been addressed. Thus, it is important to ensure that information is maintained otherwise it leads
to wastage of human resources, raw materials, cost and efforts that are being made by the
organisation. But this is done in wrong direction. Therefore, for having a precise results or
outcomes it is necessary to have adequate information. Before the evolution of technology also
firms deliver their services and they face certain challenges while doing this (Sanchez, Beak and
Saxena, 2019). The other example can be taken to acknowledge this aspect like previously
Amazon or any other organisation made use of manual methods for making sure that they deliver
their services. But effort required was and high probability of errors, redundancies, cost and
cross verification of transactions also require more time. So, with the advent of time and
evolution of services that are being provided by Amazon Web Services will furnish them with
precise tools for dealing with the information.
Research aim
This is regarded as one of the important section of the dissertation as this assist researcher
within conducting complete research along with associated activities within the systematic as
well as planned manner through which prospective outcome can be attained. Research aim refers
a predetermined statement on which all the activities are dependent on while conducting research
(SGIT, 2019). This acts as a guide for research project which assists within carrying out analysis
of research through usage of distinct methods as well as measures within effectual manner for
accomplishment of the purpose of research. The goal of researcher behind this is to achieve aims
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through execution of objectives as well as ensure that targets of research are attained in adequate
way. It is crucial element of research that aids within creation of statement with respect to the
research issue is depicted within the form of statement. In addition to this, it has to be measured
like an evidence that will lead to identify exact issues that have to resolved for attainment of
peculiar outcome. This aspect of research aids researcher to have exact direction for
accumulation of final outcomes. The probable aim of research is depicted beneath:
“To identify the challenges faced by a company before cloud computing in data
management.” Case study on Amazon
Research Objectives
1. To study the history of data management.
2. To identify challenges faced by Amazon in data management
3. To determine benefits collected by Amazon by using AWS (cloud computing) in data
management.
4. To classify ways through which AWS help in business expansion by effective utilisation
of data management.
Research Questions
1. Illustrate the history of data management?
2. What are the challenges faced by Amazon in data management?
3. Depict benefits collected by Amazon through usage of AWS (cloud computing) in data
management?
4. How AWS help in business expansion by effective utilisation of data management?
Statement of Hypothesis
H0: The new data management methodologies or tools leads organisation to error free results
with minimised redundancy and high accuracy.
H1: The new data management tools are not adequate as compared to old tools in concept of
errors, accuracy and also offers duplication of information.
Rationale of the study
The present research will provide an insight into aspects associated with challenges that
are being faced by organisation while delivering their services before the advent of technology.
The reasons associated with need of technology is that there are various problems that are being
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faced due to manual delivery of the services and to identify this aspect the study is being carried
out. This dissertation aims at providing insight into different tools associated with AWS so that
in-depth knowledge can be attained and the reader will also be able to identify the tool which
will be apt for them (Smith and et. al, 2019). The study will illustrate challenges associated with
data management and ways in which AWS resolves the issues associated with this aspect. This
will further enable firm within expansion of their operations. Like if any e-commerce firm want
to increase their product portfolio then they need to have additional space according to this.
AWS which is a service provided by Amazon for can be used for having relevant storage and
firm can also have more space as per their requirement. The benefits that will be attained by its
usage will be analysed to ensure that they are apt for dealing with problems associated with data
management.
Significance of the study
The present dissertation emphasise on challenges that were being faced by organisation
when adequate data management tools were not available. This study will provide an insight into
problems that were faced, their elimination by usage of AWS and expansion of operations
carried out by firm through relevant data management method (Sudmanns and et. al, 2019). The
research will render adequate knowledge on the advent of technology in 21st century. This study
will also illustrate different tools that are being provided by Amazon for data management and
ways in which problems associated with this are minimised through their usage. The research
will assist within having exact need for tools and as a result organisations will be able to deliver
their services in an adequate manner. In addition to this, it will also enable them maximise their
overall productivity as they will be having a platform through which they can have accurate
details related with the operation conducted by the. This section is significant as this will also
minimise the redundancy of the information, cross verification of the data, transactions that are
made will be automatically stored and will further lead to minimisation of efforts that are being
made by humans (Sun and Scanlon, 2019). This will furnish knowledge related with
technologies that are being used by firms for having competitive edge by making use of peculiar
tool.
Structure of the dissertation
The research work is dependent on adequate framework and this has to be followed by
researcher with reference to completion of this research in a significant way. The befitting
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structure is crucial for ensuring effectual implementation of research activities along with
presentation of needs of work must be adequately designed (Taori and Dasararaju, 2019). In
context of present case, the investigator will follow the structure that is illustrated below:
Chapter 1: Introduction
The research work in initialised with introduction which furnish an in-depth insight into
the chosen area of study. The variable of research which are available within this are depicted in
term dependent as well as independent variables that have to be acknowledged in trenchant way.
In addition to this, this also liable for identification of aims as well as objectives which are
dependent on the issue that has to be explored through which investigator can have relevant
guidance. This implies the initial step by which researcher can identify the probable rationale
behind the research.
Chapter 2: Literature review
This section will be after the introduction chapter is completed. This implies second
chapter of the dissertation which furnishes core benefits for researcher by accumulation of
relevant data along with information that are associated with challenges that are experienced by
organisation before the advent of AWS for management of data (Wingerath, Ritter and Gessert,
2019). Within this, section, information is collected via distinct sources such as journals, books,
published articles or any other source in which data is published. This provides a strong base or
platform for conducting the dissertation by ensuring that proposed aims along with objectives
can be attained in peculiar time span.
Chapter 3: Research Methodology
This denotes next chapter within the dissertation that is being done after the section of
literature review is completed. This part have an efficacious role within ensuring that right
direction is taken with reference to usage of research methodologies. This involves various tools
along with techniques that will assist within collection as well as making analysis of data through
which valid outcomes can be produced. It implies primary concern for researcher where research
methodologies are being utilised for creation of relevant results in context of the topic.
Chapter 4: Data Analysis on Case Study
It is critical part within the research work as within this section associated with the
investigation, data that is being gathered will be analysed with respect to research questions
along with their objectives. This is liable for furnishing data related with findings and by
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analysing perspectives of different work that is being conducted by distinct authors or
researchers. This chapter will aid researcher within presenting results within relevant format so
that readers can be provided with trenchant understanding with references to nature of peculiar
study area.
Chapter 5: Conclusion and Recommendations
This implies last chapter associated with research dissertation in which conclusion or
implications will be drawn with reference to research objectives along with aim depending upon
peculiar research issue that is to be studied. Within this section suitable summary will be created
for illustration of significant understanding with references to data management and challenges
which are involved with this. The summarised discussion will be rendered on probable
consequences of the research. In addition to this, relevant recommendations will be given
through which improvisations can be brought in the organisation by effectual usage of AWS
tools for managing data for having and delivering enhanced services.
Summary
This section illustrates the brief overview of dissertation topic that is challenges that are
being faced by firms before the advent of technology. This is a critical aspect that have to be
handled by an organisation to ensure that they are able to deliver their services in precise
manner. In addition to this, it is important for firms to have records of the the activities and
strategies that are used by them as this will assist them within making decisions. The aim and
objectives are also provided on the basis of which the entire dissertation will be done. In addition
to this, the overview of what other chapters will contain is also presented.
The next chapter is literature review that implies the work that is conducted by various
authors will be studied for identification of gap so that researcher conduct a review in an
adequate manner with reference to the research topic. This will enable investigator within having
relevant information with respect to what has been already and what aspects are left that are
critical as well as needs to be studied.
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